CMR-MULTI: Paired Cardiac MRI Images and Segmentation Labels

A multi-center dataset of paired Cardiac Magnetic Resonance (CMR) images and pixel-level segmentation labels. It covers two core clinical sequences: CINE for functional analysis and LGE for scar tissue detection. The dataset was created by TaipingQu and last updated on April 2,我们发现2026.

Use Cases

• Training segmentation models for cardiac functional analysis based on CINE (SSFP) sequences.
• Developing algorithms for scar tissue detection based on Late Gadolinium Enhancement (LGE) images.
• Benchmarking multi-sequence medical image segmentation models.
• Conducting multi-center validation studies for cardiac MRI analysis tools.

Strengths

• Includes paired images and pixel-level segmentation labels, which are essential for supervised learning.
• Covers two distinct and clinically relevant MRI sequences: CINE and LGE.
• Described as a multi-center dataset, which may improve model generalizability.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

huggingface

Collection Method

Likely collected from multiple clinical centers as part of a segmentation challenge.

Time Range

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Freshness

Last updated 2026-04 02 22:49:04; freshness should be verified.

Geography

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